Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns

Belloy, M; Naeyaert, M; Keliris, G; Abbas, A; Keilholz, S; van der Linden, A; Verhoye, M

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Meeting Abstract

Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns

MPS-Authors

/persons/resource/persons84007

Keliris, G
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

Link
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Belloy, M., Naeyaert, M., Keliris, G., Abbas, A., Keilholz, S., van der Linden, A., et al. (2017). Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns. In 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017) (pp. 566-567).

Cite as: https://hdl.handle.net/21.11116/0000-0000-C5AC-0

Abstract

We report, to our knowledge, the first application of a dynamic rsfMRI approach in mice and show the reliable detection of Quasi-Periodic Patterns (QPP) at both the group-level as well as in single-subject data. These patterns are consistent with QPPs detected previously in humans and rats, displaying a high intensity wave spreading across the cortex from lateral towards upward medial, followed by a low intensity wave in the same direction. These findings are promising for the application of QPPs towards investigating mouse resting state functional connectivity and its development as a potential new pre-clinical tool.